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Data-Driven Process Discovery and Analysis

First International Symposium, SIMPDA 2011, Campione D’Italia, Italy, June 29 – July 1, 2011, Revised Selected Papers

Karl Aberer, Ernesto Damiani, Tharam Dillon (Herausgeber)

Buch | Softcover

X, 213 Seiten

2012
Springer Berlin (Verlag)
9783642340437 (ISBN)

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This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.

The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process, the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topics spanning from theoretical issues related to process representation to practical experience in process discovery and analysis.

Ernesto Damiani is a professor at the Department of Information Technology of the University of Milan. He is the Vice-Chair of the ACM Special Interest Group on Applied Computing (SIGAPP).

Towards Distributed Collaborative Workflow Management for Mobile Devices.- Monitoring Business Processes in the Networked Enterprise.- Towards Improving the Representational Bias of Process Mining.- MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes.- BowlognaBench-Benchmarking RDF Analytics.- Towards Evaluating an Ontology-Based Data Matching Strategy for
Retrieval and Recommendation of Security Annotations for Business Process Models.- FP-Growth in Discovery of Customer Patterns.- Case Study in Process Mining in a Multinational Enterprise.- Discovering Workflow Changes with Time-Based Trace Clustering.- Striving for Object-Aware Process Support: How Existing Approaches Fit Together.- Scrum Conceptualization Using K-CRIO Ontology.

Erscheint lt. Verlag	27.9.2012
Reihe/Serie	Lecture Notes in Business Information Processing
Zusatzinfo	X, 213 p. 82 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	349 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
Schlagworte	BPM • Business Intelligence • business process management • Data Mining • Data Warehousing • Datenverarbeitung • Process analysis • Process Mining • Workflow Management
ISBN-13	9783642340437 / 9783642340437
Zustand	Neuware